Assessment of Students’ Achievements and Competencies in Mathematics Using CART and CART Ensembles and Bagging with Combined Model Improvement by MARS

Assessment of Students’ Achievements and Competencies in Mathematics Using CART and CART Ensembles and Bagging with Combined Model Improvement by MARS

The aim of this study is to evaluate students’ achievements in mathematics using three machine learning regression methods: classification and regression trees (CART), CART ensembles and bagging (CART-EB) and multivariate adaptive regression splines (MARS). A novel ensemble methodology is proposed b...

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Bibliographic Details
Main Authors: Snezhana Gocheva-Ilieva, Hristina Kulina, Atanas Ivanov
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Mathematics
Subjects:
mathematical competency
assessment
machine learning
classification and regression tree
CART ensembles and bagging
ensemble model
Online Access:https://www.mdpi.com/2227-7390/9/1/62

Internet

https://www.mdpi.com/2227-7390/9/1/62

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